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» Robust Order-based Methods for Feature Description
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ICCV
2011
IEEE
12 years 4 months ago
Local Intensity Order Pattern for Feature Description
This paper presents a novel method for feature description based on intensity order. Specifically, a Local Intensity Order Pattern(LIOP) is proposed to encode the local ordinal i...
Zhenhua Wang, Bin Fan, Fuchao Wu
JVCIR
2007
140views more  JVCIR 2007»
13 years 4 months ago
Robust video streaming over wireless LANs using multiple description transcoding and prioritized retransmission
Video transport over wireless Local Area Networks (LANs) usually suffers from signal fading, noise interference, and network congestion, leading to time-varying packet loss rate ...
Chih-Ming Chen, Chia-Wen Lin, Hsiao-Cheng Wei, Yun...
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 4 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
CVIU
2008
144views more  CVIU 2008»
13 years 5 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
ICCV
1999
IEEE
13 years 9 months ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni